Operators set to ramp up machine learning spend to avoid “irrelevance”

Operators set to ramp up machine learning spend to avoid “irrelevance”

Mobile operators will devote more than $50 billion to big data and machine learning analytics over the next five years to avoid becoming irrelevant, according to new research.Spending on the Hadoop ecosystem, SQL/NoSQL data management and orchestration platforms will continue, ABI Research has forecast, but the biggest growth will come from predictive analytics to improve business performance. Legacy, rule-based analytics solutions are no longer able to keep pace with a number of areas, meaning the appetite for predictive analytics based on machine learning is expected to grow at nearly 50 percent CAGR to reach $12 billion in 2021. Machine learning “excels” at spotting trending anomalies, ABI said. It cited financially oriented applications, including fraud mitigation and revenue assurance, as key use cases. Network performance optimisation, real-time management, sales, marketing, and…